An improved opportunity maintenance model of complex system

• Published in: Advances in mechanical engineering Vol. 11; no. 4
• Main Authors: Yuan, Qinghe, Jin, Zhenzhen, Jia, Shun, Liu, Qian
• Format: Journal Article
• Language: English
• Published: London, England SAGE Publications 01.04.2019; Sage Publications Ltd; SAGE Publishing
• Subjects: Complex systems; Computer simulation; Disassembly sequences; Dismantling; Learning; Maintenance; Maintenance costs; Maintenance management; Preventive maintenance; learning-forgetting effects; complex system; Monte Carlo simulation; Opportunistic maintenance; disassembly sequence
• ISSN: 1687-8132; 1687-8140
• DOI: 10.1177/1687814019841517

To solve the problems of multiple parts, high cost of disassembly, and imperfect maintenance in multi-component complex systems, an opportunistic maintenance model of multi-component complex systems based on a time threshold is proposed in this article. The influence of the disassembly sequence and hybrid evolution factors on maintenance and learning-forgetting effects are considered in the proposed model. In this article, the learning-forgetting effect of the field strip in the components on the same level or components on different levels is considered in addition to the shortest disassembly path of multi-component complex systems. Imperfect and preventive maintenance is applied in a complex system, and random failure involves minor repairs. Multiple objectives that minimize maintenance costs and maximize operation time rate are proposed. Monte Carlo simulation is used to solve the model and obtain the time threshold of optimal opportunistic maintenance. The results show the feasibility of the opportunistic maintenance model.